Demand & Paid Media · established evidence

Why Branded Search Is the Least Understood Line Item on a Med-Spa's Ad Bill

Last reviewed 2026-07-20. Written by Chandranshu Kumar, Founder, Raveneye Global. · 10 min read

Branded search, the ads a med-spa buys against its own name, is usually the best-looking line on the account and the least understood. It converts at a high rate, reports a strong return, and feels like cheap insurance. But a large randomized experiment at eBay found that paid search on branded keywords produced no measurable short-term incremental sales, because the people clicking those ads were already coming to buy. That does not make branded search always a waste. It means the reported return on this line double-counts customers you would have won for free, so the real question is not "is it working" but "what would happen to bookings if it turned off." For a med-spa, branded search is protection when a competitor is bidding on your name and waste when nothing is. Telling the two apart takes a test, not a dashboard.

The line that reports the best return is the one to read first

Open almost any local-service Google Ads account and the branded campaign, the one bidding on the practice's own name, looks like the star. Its click-through rate is high, its cost per click is low, its conversion rate is the envy of every other campaign, and its reported return on ad spend is often several times higher than non-branded search. On a med-spa's monthly bill it reads as the safest money on the page.

That appearance is exactly why it is the least understood line item. Every other campaign has to earn a click from a stranger. The branded campaign intercepts someone who already typed your name, which means they already knew you, already intended to find you, and in most cases would have reached you through the free organic listing that sits directly below the ad. The metrics do not distinguish the customer the ad created from the customer it merely collected. Read as reported, branded search takes credit for demand it did not generate.

The eBay experiment: what branded search actually caused

The load-bearing evidence here is not a vendor case study. It is a peer-reviewed field experiment. In work published in Econometrica, economists Thomas Blake, Chris Nosko, and Steven Tadelis ran a large-scale randomized test at eBay, switching paid search on and off across markets to measure what the ads truly caused rather than what a dashboard reported.

For branded keywords, searches for eBay's own name, the result was stark: turning the ads off produced no measurable short-term drop in sales. Nearly all the traffic the branded ads had been paying for simply arrived through the organic ("natural") search result instead. The spend was buying clicks that were already going to happen.

The non-branded finding was subtler and just as important. New and infrequent users could be positively influenced by ads, but frequent users, the people who were going to buy regardless, absorbed most of the spend, and their purchases were unaffected. Averaged across everyone, returns for the tested non-brand campaigns ran negative. The single mechanism under both results is consumer heterogeneity: the same ad has a very different effect on someone discovering you than on someone already walking through your door.

Why the null result travels to a med-spa, and where it does not

A word of caution before the analogy does any work: the eBay study is one firm, a giant marketplace, not a local aesthetics practice, and its authors are careful to frame it as a documented mechanism rather than a universal constant. We apply it as a lens, not as a measured figure for your account, and any specific dollar of med-spa waste has to be established with your own data, not borrowed from eBay's.

What travels is the mechanism, not the number. A branded search on "[Your Practice Name] med spa" is the most intent-saturated query in your whole account. The person typing it is not comparison shopping; they are navigating to you. That is precisely the condition under which the eBay experiment found paid clicks to be substitutes for free organic clicks rather than additions to them. If your practice already owns the top organic result for its own name, and for a distinctive brand almost every practice does, the branded ad is frequently paying to sit above a free listing the same searcher would have clicked.

What does not travel automatically is the conclusion "so turn it off." The eBay account had no competitor actively hijacking its brand term in the way a local market can. That exception is where branded search stops being a tax and becomes a shield, which is the next section.

Should I bid on my own brand name? When it is protection, not waste

It depends on who else is in the auction. Branded search earns its place when a specific, checkable condition holds, and wastes money when it does not.

Sponsored search sits inside a generalized second-price auction, the mechanism Edelman, Ostrovsky, and Schwarz documented as the engine behind essentially all keyword advertising. Nothing stops a rival from entering that auction on your name. When a competing med-spa or a national chain bids on your brand term, the top of the page for your own name can be handed to them unless you are present to hold it. In that case the branded ad is not buying incremental discovery; it is denying a competitor a cheap interception of buyers who were looking for you specifically. That is defense, and it can be worth paying for.

The two questions that decide the line

Two checks separate protection from waste, and both are answerable without a data-science team:

  • Is anyone actually bidding on your name? Search your own brand from a clean browser, repeatedly, over several days. If a competitor's ad appears above or beside your organic listing, the defensive case is live. If the page is only ever you, above your own free result, you are likely paying to compete with yourself.
  • Does the query have real ambiguity? A distinctive practice name ("Lumière Aesthetics") behaves differently from a generic one ("Downtown Med Spa") that overlaps with category searches. The more generic and category-like the term, the more a branded campaign quietly bleeds into non-branded prospecting, where the incrementality math is different again.

The measurement trap: reported return versus caused return

Branded search flatters itself for a reason rooted in how the numbers are formed. The platform attributes a booking to the last ad clicked, and the branded ad is very often the last click before a customer who was always going to convert. This is a specific case of a broader, well-documented problem.

Randall Lewis, Justin Rao, and David Reiley called it activity bias: across three controlled experiments, they showed that people who are already active online, browsing, searching, clicking, are more likely to do all of those things at once, ad or no ad. Correlation between ad exposure and conversion gets read as causation, and effectiveness is systematically overestimated. Branded search is where this bias bites hardest, because ad exposure and buying intent are almost perfectly correlated there by construction.

Industry practitioners put a range on the gap. Measured incremental return on ad spend is commonly reported to run well below platform-reported return, with branded search named as the channel where the divergence is worst and estimates that a large majority of branded clicks would have converted through organic or direct traffic anyway. We flag those specific percentages as industry-reported and unaudited, directionally consistent with the peer-reviewed experiments above but not a substitute for them, and not a number we would attach to your account without measuring it ourselves.

How to actually find out, for your own account

The reason branded search stays misunderstood is that the dashboard cannot answer the only question that matters: what would happen to bookings if this line turned off. Answering it requires a test that creates a counterfactual, and there are three ways to build one, in rising order of rigor.

The pause test

The bluntest instrument: turn the branded campaign off for a defined period and watch total bookings, not just paid conversions, against the prior period and the same period last year. If total bookings hold while paid-branded conversions "vanish," those conversions were being harvested from free traffic. It is crude, seasonality can confound it, but for a single-location practice it is often enough to expose an obvious tax.

The geo holdout

Cleaner, and the closest a local business gets to a randomized controlled trial. Jerry Vaver and Jon Koehler at Google formalized geo experiments: split non-overlapping geographic regions into treatment and control, run the ads in one set and not the other, and read the causal lift without needing to track individuals. A multi-location med-spa group can hold branded search on in some metros and off in others and measure the true difference in bookings.

Counterfactual (ghost) measurement

The most economical method academically. Garrett Johnson, Randall Lewis, and Elmar Nubbemeyer introduced "ghost ads," which record the would-be ad impressions a control group would have seen, letting an advertiser measure incrementality at a fraction of the cost of older public-service-announcement holdouts. In their demonstration the method cleanly measured a retargeting campaign that lifted site visits 17.2 percent and purchases 10.5 percent, real lift, cleanly isolated. The lesson for a med-spa is not to run this yourself but to insist that whoever manages your spend can produce a counterfactual, not just a conversion count.

A field guide to reading your med-spa's branded line

Pulling the evidence into practice, here is how to read the branded line item the next time the invoice lands. None of this requires you to accept a number on faith; each step replaces an assumption with a check.

  • Treat the reported return on branded search as an upper bound, never as the caused return. The true figure is lower by an amount only a test can reveal.
  • Separate the branded campaign in your reporting so its spend and conversions never blend into the non-branded numbers. You cannot audit a line you cannot see.
  • Run the competitor check before touching the budget. Live competitor bids on your name justify defense; an empty auction does not.
  • Watch total booked appointments, the real outcome, not platform conversions, when you test. Paid conversions can fall while bookings hold steady, which is the whole point.
  • Med-spa keywords are expensive. Category terms in this vertical are among the priciest in local service, so a branded campaign quietly wandering into non-branded queries wastes money quickly. The specific cost-per-click figures for your market need your own data, not an industry average.

The point is not to cut, it is to know

The failure mode this article argues against is not "spending on your brand name." It is spending on it without knowing which kind of spend it is. Branded search can be a genuine shield against competitors interposing themselves at the moment a buyer is looking for you by name. It can equally be a silent tax on demand you already own, dressed up by last-click attribution as your best-performing campaign.

The difference is not a matter of opinion or of a vendor's confidence. It is measurable, and the tools to measure it are decades old and peer-reviewed. The businesses that stop overpaying for their own name are the ones that treated the branded line as a question to be tested rather than a result to be trusted.

The evidence

Key findings, with their sources

  • In a large-scale randomized field experiment at eBay, paid search on branded keywords produced no measurable short-term incremental benefit; turning the ads off shifted traffic to the free organic listing with no measurable sales loss.

    established Blake, Nosko & Tadelis, "Consumer Heterogeneity and Paid Search Effectiveness: A Large-Scale Field Experiment", Econometrica, 83(1), 2015 (NBER WP 20171).

  • For non-brand keywords, frequent users (whose purchases were unaffected by ads) absorbed most of the spend, producing negative average returns, while new and infrequent users could be positively influenced.

    established Blake, Nosko & Tadelis, Econometrica, 83(1), 2015.

  • Observational estimates of ad effectiveness are systematically biased upward by "activity bias": people already active online are more likely to search, click, and buy whether or not they saw an ad, as shown across three controlled experiments.

    established Lewis, Rao & Reiley, "Here, There, and Everywhere: Correlated Online Behaviors Can Lead to Overestimates of the Effects of Advertising", WWW '11.

  • The "ghost ads" method cleanly measured a retargeting campaign that lifted site visits 17.2% and purchases 10.5%, while measuring incrementality at a fraction of the cost of public-service-announcement holdouts.

    established Johnson, Lewis & Nubbemeyer, "Ghost Ads: Improving the Economics of Measuring Online Ad Effectiveness", Journal of Marketing Research, 54(6), 2017.

  • Geo experiments (randomizing non-overlapping regions into treatment and control) provide a systematic causal method for measuring true ad effectiveness without individual-level tracking, explicitly framed to inform bidding and budget decisions.

    established Vaver & Koehler, "Measuring Ad Effectiveness Using Geo Experiments", Google Inc., 2011.

  • Sponsored search runs through a generalized second-price auction, so a competitor can enter the auction on your own brand term; nothing about the mechanism reserves it for you.

    established Edelman, Ostrovsky & Schwarz, "Internet Advertising and the Generalized Second-Price Auction", American Economic Review, 97(1), 2007.

  • Industry practitioner analysis reports that measured incremental ROAS commonly runs 30-70% below platform-reported ROAS, with branded search cited as the channel where the divergence is most severe (claims that 60-80% of branded-search clicks would have converted anyway).

    contested Synthesis of practitioner/vendor analyses (Prescient AI, Eightx, MHI Growth Engine, layerfive.com), 2025-2026; unaudited, directionally consistent with the peer-reviewed field experiments above.

Calibration

What is proven, what is promising, what is unproven

Evidence tierTacticsWhat the evidence says
EstablishedBranded paid clicks substitute for free organic clicks for navigational, high-intent searchers; activity bias inflates reported effect; geo experiments and ghost ads measure true lift.Blake-Nosko-Tadelis 2015; Lewis-Rao-Reiley 2011; Vaver-Koehler 2011; Johnson-Lewis-Nubbemeyer 2017 (peer-reviewed / Google research).
Established mechanism, cautious extrapolationApplying the eBay brand-keyword null result to a local med-spa's brand-defense bidding as an analogy for when brand spend is likely non-incremental.Single-firm study generalized as a documented mechanism, not a measured med-spa constant; requires per-account testing.
Contested / needs primary dataSpecific percentage claims for how much branded return is non-incremental, and med-spa cost-per-click figures.Industry/vendor synthesis and keyword-tool estimates; not independently audited, pending each account's own measurement.

Reference

Glossary

Ads a business buys against searches for its own name or trademark (for example "[Your Practice] med spa"), as opposed to non-branded category or service searches.
Brand-defense bidding
Bidding on your own brand term to hold the top of the page and deny a competitor a cheap interception of buyers already searching for you.
Incrementality
The additional outcome an ad actually caused, over and above what would have happened with no ad. The difference between the customer an ad created and the customer it merely collected.
Incremental ROAS (iROAS)
Return on ad spend calculated against caused conversions only, not last-click-attributed ones. Typically lower than platform-reported ROAS, most sharply for branded search.
Activity bias
The tendency of already-active users to search, click, and buy at once regardless of ads, which makes observational estimates of ad effectiveness read too high.
Geo holdout test
Running ads in some geographic regions and not others, then comparing outcomes, to measure true causal ad lift without individual tracking.

Straight answers

Frequently asked questions

Should I bid on my own brand name?

It depends on the auction on your name. If a competitor is actively bidding on your brand term, a branded ad defends the top of the page and can be worth it. If nothing appears against your name and you already own the top organic result, you are likely paying to intercept clicks that were free, which the eBay field experiment found produced no measurable incremental sales.

Is branded search always a waste?

No. The evidence says the reported return overstates the caused return, not that the caused return is always zero. Branded search is protection when it holds off a competitor conquesting your name, and waste when the auction on your name is empty. The two look identical on a dashboard, so the only way to tell them apart is to test.

How do I know if my branded spend is actually incremental?

You have to create a counterfactual, because the dashboard cannot. The three methods, in rising rigor, are a pause test (turn it off and watch total bookings), a geo holdout (run it in some metros and not others), and counterfactual "ghost ad" measurement. Watch booked appointments, the real outcome, not platform conversions.

What does the eBay study prove about my med-spa specifically?

It proves a mechanism, not a number. It shows that for high-intent, navigational searches on a brand name, paid clicks tend to substitute for free organic clicks rather than add to sales. That mechanism plausibly applies to a med-spa searching its own distinctive name, but the specific dollars of waste in your account can only be established with your own data.

Will pausing branded search hurt my organic rankings?

Paid and organic are separate systems; pausing ads does not directly lower your organic ranking. What a pause test does reveal is whether the paid branded clicks were incremental or were simply being harvested from the organic listing that continues to rank for your name.

Provenance

Sources

  1. Blake, T., Nosko, C. & Tadelis, S., "Consumer Heterogeneity and Paid Search Effectiveness: A Large-Scale Field Experiment", Econometrica, 83(1), 2015 (NBER WP 20171) (established)
  2. Lewis, R. A., Rao, J. M. & Reiley, D. H., "Here, There, and Everywhere: Correlated Online Behaviors Can Lead to Overestimates of the Effects of Advertising", WWW '11, 2011 (established)doi.org
  3. Johnson, G. A., Lewis, R. A. & Nubbemeyer, E. I., "Ghost Ads: Improving the Economics of Measuring Online Ad Effectiveness", Journal of Marketing Research, 54(6), 2017 (established)doi.org
  4. Vaver, J. & Koehler, J., "Measuring Ad Effectiveness Using Geo Experiments", Google Inc., 2011 (established)research.google
  5. Edelman, B., Ostrovsky, M. & Schwarz, M., "Internet Advertising and the Generalized Second-Price Auction: Selling Billions of Dollars Worth of Keywords", American Economic Review, 97(1), 2007 (established)aeaweb.org
  6. Practitioner/vendor incrementality analyses (Prescient AI, Eightx, MHI Growth Engine, layerfive.com), 2025-2026 (contested, industry-reported, cited only as directional)

Every figure above is attributed to a real, dated source and tagged with its evidence tier. Where a claim could not be verified to a primary source, it is not stated as fact.

What this means for your ad bill

The evidence points to one thing you cannot see from your dashboard: how much of your branded search return is real and how much is demand you already own, counted twice. A Paid Search Conversion Audit reads that line for you, separates the spend that defends you from a competitor from the spend that quietly taxes your own customers, and hands you the test to prove it, before you cut or keep a single dollar.

diagnostic Paid Search Conversion Audit A scoped read of where your paid search converts and where it leaks, with the branded line separated out, the competitor check run, and a measurement plan that tells caused bookings from collected clicks. See how it works

Start free with a Machine-Readiness Score, a specialist-reviewed read of where you stand across search and AI answers. No guaranteed number, and no obligation.